A5059711663- Advanced machining processes and optimization
- Reliability and Maintenance Optimization
- Manufacturing Process and Optimization
- Advanced Measurement and Metrology Techniques
- Advanced Surface Polishing Techniques
- Engineering Diagnostics and Reliability
- Probabilistic and Robust Engineering Design
- Statistical Distribution Estimation and Applications
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Orbital Angular Momentum in Optics
- Advanced Antenna and Metasurface Technologies
- Metamaterials and Metasurfaces Applications
- Plasmonic and Surface Plasmon Research
- Fatigue and fracture mechanics
- Advanced Machining and Optimization Techniques
- Metal Alloys Wear and Properties
- Industrial Vision Systems and Defect Detection
- Inflammatory Myopathies and Dermatomyositis
- Structural Load-Bearing Analysis
- Machine Learning and ELM
- High Temperature Alloys and Creep
- Advanced Statistical Process Monitoring
- Employment and Welfare Studies
- Inflammasome and immune disorders
Jiangsu University of Science and Technology
2020-2025
Changchun University of Chinese Medicine
2024
Wenzhou Medical University
2023
First Affiliated Hospital of Wenzhou Medical University
2023
Children's Hospital of Fudan University
2023
PLA Rocket Force University of Engineering
2021-2023
First Affiliated Hospital of Nanchang University
2023
Nanchang University
2023
Beijing Institute of Technology
2020-2022
Nanjing University of Science and Technology
2016-2022
Plasmonic nanoparticle assemblies are a materials platform in which optical modes, resonant frequencies, and near-field intensities can be specified by the number position of nanoparticles cluster. A current challenge is to achieve clusters with higher yields new types shapes. In this Letter, we show that broad range plasmonic nanoshell nanoclusters assembled onto lithographically defined elastomeric substrate relatively high using templated assembly. We assemble measure properties three...
In order to explore the factors affecting users’ behaviors in a free-floating bike sharing (FFBS) system China, survey was conducted Jiangsu province, China 2017, and travel characteristics of FFBS users were analyzed. A binary logistic model applied quantify impact various variables regarding residents’ usage preference based on 30401 valid questionnaires. The findings show that (1) mainly used for short-distance cities, especially commuting schooling, time period coincided with rush-hour...
Abstract The fault diagnosis of slewing bearings is crucial for modern industry. However, operational constraints and high signal acquisition costs limit the number available diagnostic samples, leading to decreased accuracy. This study proposes a novel method based on audible sound signals, termed Time GAN-TabPFN. utilizes low-cost, easily obtainable signals as input. By employing GAN, original data features are enhanced, generating new training samples. Subsequently, TabPFN framework...
Improper radial and axial depths of cut (DOC) during the milling process are one main causes machining defects such as overcutting chatter. A real-time DOC monitoring method is significant for improving efficiency quality. However, coupling effect on physical signals force vibration would deteriorate algorithm. Therefore, a hybrid data-driven model proposed to identify with multiple sensors, including force, vibration, current, noise. Firstly, experiments variables DOC, feed rate, spindle...
This paper aims to contribute understanding the dynamics of industrial symbiosis. More specifically, we focus on anchoring as they can be observed in Chinese context eco-industrial development. We define those activities that (typically local) actors perform create local physical and institutional conditions conducive emergence further development symbiosis a specific regional system. argue that, study dynamics, it is conceptually more useful an activity, rather than anchor tenants actors....
Systemic Lupus Erythematosus (SLE) etiopathogenesis highlights the contributions of overproduction CD4
We image the chiroptical response of crossed nanowire junctions as a function vertical offset between nanowires and incident wavelength. These samples show “hot spots” with strongly localized circular differential scattering at crossing points. hot spots are not apparent in spatially averaged spectra. The sign magnitude enhancement complex dependence on sample geometry, which we reproduce fully retarded analytical model. results suggest strategies for engineering devices enhanced chiral...
This paper focuses on the study of induction heating process a camshaft in marine diesel engine. A three-dimensional finite element model for dynamic is established using method multi-physical field coupling, aiming to investigate temperature uniformity cam during this process. Three elements are analyzed study: moving speed, gap between coil and workpiece, width coil. These factors allow an analysis distribution thickness direction contour line under various conditions. On basis, equivalent...
A 3D printed dielectric reflectarray is studied to generate orbital angular momentum (OAM) beam. The array element consists of a half-wavelength rectangular block and metallic ground. It found that the loss tangent permittivity independently affect reflection magnitude phase, respectively. Four OAM modes (l = 1, 2, 3, 4) are theoretically studied. prototype mode l 1 working at Ka band fabricated measured. maximum gain in radiation direction (θ 4°) 20.4 dBi 30 GHz. wide bandwidth 21.7% for...
It is assumed that the drift parameter dependent on acceleration variables and diffusion coefficient remains same across whole accelerated degradation test (ADT) in most of literature based Wiener process. However, variation would also become obvious some applications with stress increasing. Aiming at phenomenon, paper concludes both depend invariance principle failure mechanism Nelson assumption. Accordingly, constant process (CSADP) step (SSADP) random effects are modeled. The unknown...
In the process of extrapolating a lifetime distribution function under normal storage conditions through nonlinear accelerated degradation data, time indexes are usually set to mean value various stresses. However, minor differences in may lead great changes assessment results. For such problem, an model Wiener based on fixed index is established first and meanwhile, impact measurement error considered. Then, probability density normalized, multiple unknown parameters estimated by using...
The processing quality of the block hole system affects working performance marine diesel engine directly. Choosing an appropriate combination process parameters is a prerequisite to improving accuracy system. Uncertain fluctuations during machining would affect reliability system, resulting in ultra-poor accuracy. For this reason, RBF method used establish relationship between verticality cylinder and parameters, including cutting speed, depth cut, feed rate. minimum taken as goal...
Remaining useful life (RUL) prediction in real operating environment (ROE) plays an important role condition-based maintenance. However, the information ROE is limited, especially for some long-life products. In such cases, accelerated degradation test (ADT) effective method to collect data and then are converted normal level of stresses through acceleration factors. different from since there other except stresses, which cannot be accelerated, but still have impact on degradation. To...
Balancing machine is a general equipment for dynamic balance verification of rotating parts, whether it breaks down or does not determine the accuracy verification. In order to solve problem insufficient fault diagnosis balancing machine, method based on Improved Sparrow Search Algorithm (ISSA) optimized Extreme Learning Machine (ELM) was proposed. Firstly, iterative chaos mapping and Fuch were introduced initialize population increase diversity. Secondly, adaptive factor Levy flight...
In view of the high precision requirement marine diesel engine body and difficulty quality control, a prediction method body, based on process error transfer network, is proposed. First, according to processing information network nodes edges are abstracted establish body. Then, key control points features determined by PageRank node degree. The obtained from analysis taken as output, corresponding errors parameters input. Finally, model established SVR algorithm, C, g algorithm optimized...
The prediction of reliability for rubber O-rings used in the rockets is great significance life assessment rockets. In this paper, were aged under accelerated conditions at temperatures ranging from 60°C to 80°C. And a new model based on Wiener process with time scale transformation was presented describe degradation CS (compression set) which characteristic parameter O-rings. Due appearance implicit data model, EM (Expectation Maximization) algorithm adopted estimate parameters. It proved...
The diffusion coefficients are often assumed irrelevant to stresses in Wiener degradation process. However, there is evidence that the under different accelerated stress levels an test where higher could lead larger diffusion. Therefore, contrast existing models which as a constant or levels, this paper allows both drift and be defined functions of stresses. Then, consequence model mis-specification proposed wrongly fitted by its special case analyzed based on Kullback–Leibler distance. In...
In order to improve dynamic characteristics of air spring with auxiliary chamber, finite element model R1A390-295 chamber connected pipe is established,and through analysis the model, influence discipline sitffness different pipe, or initial pressure are analysed under excitation. The result show that:minor obtained by using larger lower excitation frequency,and as volume increases, will decrease accordingly and its amplitude tends gentle,and for decreasing not obvious continuing increase...
Abstract Accurate online acquisition of tool wear degradation indicators is an important prerequisite for monitoring and remaining life prediction. The process usually accompanied by the flank face cutting blade breakage, however, existing only consider value, but not breakage resulting in lack accuracy indicators. To this end, identification method based on fusion image sensors laser displacement proposed, which adopts VGG16-UNet network to identify value obtains time series data sensor....
Due to the fewer fault samples, it is difficult diagnose of slewing bearings in complex working conditions. For this reason, a model based on Time-series Generative Adversarial Networks (Time GAN) combined with Synergistic Similarity Graph Construction (SSGC) and Attention Network (GAT) proposed. Time GAN introduced generate new training sample features while preserving unique temporal correlation its samples. SSGC method utilized construct graph structure data for newly generated samples...